Senior IA/ML Engineer

Plain Concepts

España

Presencial

EUR 50.000 - 80.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Salary determined by market
Flexible schedule (35 hours/week)
Fully remote work (optional)
Medical and dental insurance
Individual training budget
Monthly bonus for expenses
Discount on gym plans

Descripción de la vacante

A tech innovation firm seeks a passionate Data Scientist to join their international AI/ML team. You'll tackle unique challenges in AI-powered software development while working from home or at their office in Spain. Responsibilities include designing AI solutions, building ML models, and optimizing them for production environments. The ideal candidate possesses over 7 years of experience in AI/ML and strong skills in Python. Offering a flexible schedule and a benefits package with medical insurance and bonuses for expenses.

Formación

  • More than 7 years of experience in AI/Machine Learning.
  • Ability to build an end-to-end software product with machine learning.
  • Experience in building ML/deep learning pipelines.

Responsabilidades

  • Participate in the design and development of AI solutions.
  • Build production-level ML/AI solutions.
  • Automate deployment and monitoring of models.

Conocimientos

AI / Machine Learning / Computer Science
Python
SQL
Applied computer vision
NLP projects

Herramientas

TensorFlow
PyTorch
Docker
CI/CD
Azure

Descripción del empleo

Overview

We're Growing Our AI Dream Team! We're not big on titles, but let's call this one Data Scientist for the team. As part of our international AI/ML squad, you'll craft tailor-made solutions that wow our clients. We're hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that's just the beginning.

What you will do
  • You'll tackle the unique challenges of AI-powered software alongside a team of brilliant minds
  • You'll dive into cutting-edge projects using the latest tech to push boundaries and make an impact
  • Whether you prefer working from home or joining us at our offices, the choice is yours
  • AGILE isn't just a buzzword here — it's how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check

Ready to take on projects that matter, with a team that's as passionate as you are? Let's make it happen!

Responsibilities
  • Participating in the design and development of AI solutions for challenging projects
  • Building production level ML/AI solutions, with solid software engineering and ML/AI principles
  • MLOps: automated deployment and monitoring of models and infrastructure
  • Data analysis (data cleaning, variable transformation, etc.)
  • Developing and training ML models
  • Putting AI models into production
  • Parallelizing, optimizing, tuning, and testing models to deploy in a production environment
Requirements
  • More than 7 years of experience in AI / Machine Learning / Computer Science
  • Ability to build an end-to-end software product with a machine learning component
  • Knowledge in applied computer vision
  • Strong skills in Python and reasonable SQL understanding
  • Experience in building ML/deep learning pipelines and models
  • Experience in implementing production-ready ML models using current ML/Deep learning techniques
  • MLOps experience is valuable
  • Experience in NLP projects is necessary
  • English is mandatory
Nice to have
  • Experience with deep learning frameworks like TensorFlow, PyTorch, etc.
  • Experience with Big Data projects and tools
  • Experience writing RESTful web services
  • Experience with DevOps tools (Docker, CI/CD, etc.)
  • Experience with source code version control tools
  • Experience working with Azure or other cloud platforms
  • Azure Machine Learning experience is a plus
  • Experience with Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar
  • TensorFlow Lite, TensorFlow Serving, gRPC
  • Unit testing knowledge
  • Solid object-oriented programming skills
Benefits
  • Salary determined by the market and your experience
  • Flexible schedule (35 hours / Week)
  • Fully remote work (optional)
  • Flexible compensation (restaurant, transport, and childcare)
  • Medical and dental insurance (for the employee)
  • Individual budget for training or equipment and free Microsoft certifications
  • English lessons
  • Birthday day off
  • Monthly bonus for electricity and Internet expenses at home
  • Discount on gym plans and sports activities
  • Annual team-building events
  • Other perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, and access to a employee discount portal
  • The opportunity to work with the latest technological tools
Selection process

Simple, three steps:

  • Phone screen
  • Two interviews with the team
About Plain Concepts

Plain Concepts is a global company of over 500 people passionate about technology and innovation. We operate in more than 6 countries and work to drive cutting-edge projects worldwide. We are committed to technical excellence and known for developing customized projects, offering specialized technical consultancy and training.

We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training. Our approach goes beyond traditional outsourcing; we focus on creating value with our clients. Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure. We live and breathe AGILE principles and encourage knowledge-sharing and innovation.

What we do

We are a 100% technical team focused on crafting custom projects, offering consultancy, and providing training. We value transparency and long-term partnerships and welcome bold ideas.

Want to learn more? Check out our website: plainconcepts.com

Plain Concepts is an equal opportunity employer. We value diversity and do not discriminate based on race, color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

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